Enterprise Mobile News of the Week: 1/22/18
Happy 2018, everyone. We’re only a few weeks into the new year and already there’s some big news:
- How to avert a nuclear holocaust via better UX. Despite universal agreement that UX is critically important to the adoption and proper use of enterprise software, plenty instances of bad design still persist. Here’s an example of just how horribly wrong things can go as a result! And I’m not talking ugly icons or small tap targets. Sometimes bad UX can even result in people thinking they’re about to die in a nuclear holocaust. From the Washington Post:
Around 8:05a.m., the Hawaii emergency employee initiated the internal test, according to a timeline released by the state. From a drop-down menu on a computer program, he saw two options: “Test missile alert” and “Missile alert.” He was supposed to choose the former; as much of the world now knows, he chose the latter, an initiation of a real-life missile alert.”
Really? Those two choices are part of the same drop-down menu? And no confirmation pop-up alert? Heck, I get one of those when I just try to cancel an email! Mai-tai’s for everyone as we contemplate the end of the world. SMH.
- How to design a RESTful API architecture from a human-language spec. A great read for business leaders and product owners to help them better understand how talk to communicate with software architects to ensure project alignment.
- 2017 was a big year for Apple in the health space, with much of the activity focused on the Apple Watch and on the initiation of its first FDA study. This article provides a pretty good rundown on the key announcements and activities from 2017, but leaves out relevant third-party announcements like AliveCor’s Kardiaband becoming the first FDA approved medical device accessory for the Apple Watch.
- Apple Maps is absolutely getting better and is now pretty reliable in the US as well as in many other countries (India, not so much). But Google Maps continues to evolve and extend its lead. Justin O’Beirne provides a really fascinating and detailed analysis on how Google Maps has managed to evolve so quickly (spoiler alert: machine learning).